Inhaltsangabe
Preface. 1. Introduction. I: Introduction to Data Fusion. 2. Data Fusion and Standard Techniques. II: The Random Set Approach to Data Fusion. 3. Foundations of Random Sets. 4. Finite Random Sets. 5. Finite-Set Statistics. 6. Fusion of Unambiguous Observations. 7. Fusion of Ambiguous Observations. 8. Output Measurement. III: Use of Conditional and Relational Events in Data Fusion. 9. Introduction to the Conditional and Relational Event Algebra Aspects of Data Fusion. 10. Potential Application of Conditional Event Algebra to Combining Conditional Information. 11. Three Particular Conditional Event Algebras. 12. Further Development of Product Space Conditional Event Algebra. 13. Product Space Conditional Event Algebra as a Tool for Further Analysis of Conditional Event Algebra Issues. 14. Testing of Hypotheses for Distinctness of Events and Event Similarity Issues. 15. Testing Hypotheses and Estimation Relative to Natural Language Descriptions. 16. Development of Relational Event Algebra Proper to Address Data Fusion Problems. Index.
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